CAJ | 학술논문

提出一种黄金工作集的多维数值函数极值优化算法。根据工作集元素的贡献度不同并结合黄金分割法将工作集划分为黄金工作集和非黄金工作集。通过保留黄金工作集元素和置换非黄金工作集元素方法，保障工作集中的元素都是最优解，从而达到加速收敛实现算法的优化。通过与人工蜂群算法的进行比较，结果证明该算法在极值收敛上具有明显优势。
제출일충황금공작집적다유수치함수겁치우화산법。근거공작집원소적공헌도불동병결합황금분할법장공작집화분위황금공작집화비황금공작집。통과보류황금공작집원소화치환비황금공작집원소방법，보장공작집중적원소도시최우해，종이체도가속수렴실현산법적우화。통과여인공봉군산법적진행비교，결과증명해산법재겁치수렴상구유명현우세。
This paper describes global optimization algorithm of multi -dimensional numerical function based ongolden selection working set. The working set is divided into a golden selection working set and non - golden se-lection one by the contribution of the working set elements combined with the golden selection. By retaining ele- ments of the golden selection working set and replaceing elements of non - gold one, it can get the optimal solu- tion and achieve speeding up the convergence rate optimization algorithm. Compared with artificial bee colony al-gorithm, simulation result performs better than ABC algorithms in convergence.